Edge Robotics

Edge robotics focuses on deploying intelligent robotic systems with onboard or nearby processing, minimizing reliance on cloud computing for speed, security, and energy efficiency. Current research emphasizes developing energy-efficient hardware architectures, such as neuromorphic chips and compute-in-memory systems, alongside robust algorithms like deep reinforcement learning and Bayesian filtering for uncertainty-aware navigation and perception. This field is crucial for advancing autonomous systems in resource-constrained environments, impacting applications ranging from tiny drones and surgical robots to space exploration and industrial automation.